You spent years learning how your systems really work. Then you handed them to agents that didn't.
Intelligence got cheap
Agents can touch more of your system now.
But they don't know your domain
The constraints, trade-offs, and hard-won reasons are missing from the context where agents act.
So they build the generic version
Not the one shaped by everything you know. Just the obvious one.
And your work erodes, one plausible edit at a time
Each change looks fine on its own. Together they wear away everything that made the work yours.
You're left reviewing slop and reverse-engineering damage to your own work. That is the crime scene.
Turn your institutional knowledge into composable infrastructure your agents reason and reconcile against.
Write a piece of your specific knowledge as a context module: a named, versioned specification of how one part of your system should work and why.
catalog
context module
Every product has a stable SKU that never changes.
Out-of-stock items stay listed, marked unavailable.
Listings reflect live inventory, never a cached count.
depends on
Declare what each module depends on. Those dependencies connect your modules into a Semantic Directed Acyclic Graph, or SemDAG. Flashing a module assembles its declared dependency closure.
An agent flashes a module and gets its whole SemDAG, compiled in topological order into a single payload. Through In-Context Learning (ICL), your agents receive your specific knowledge on demand, so they start with the standards and reasoning you would use.
Delivered in dependency order: foundations first, your module last. The agent receives every declared dependency before it reaches your module.
Your knowledge becomes the input. Work starts from your standard, and you verify the result.
Your modules live in the cloud as one graph: stored in your Workspace, addressed by name, and owned by you. Any authorized team member or agent can flash the same source from a connected tool.
Addressed, not filed
A module is referenced by name from repositories and tools connected through Cortex.
Yours to share
Your account boundary keeps members, agents, and modules scoped to your workspace.
Owned, not orphaned
Every module has a human owner who is accountable for its content.
Start alone and add members when needed. The Account boundary keeps each organization isolated.
Tenant isolation
Each workspace is its own boundary. Members, modules, and agents stay scoped to it.
One account boundary
People and installed agents work from the same account-scoped graph.
Supports a growing team
The same Account model supports an engineer working alone and organizations with many members.
acme-platform
tenantyou
Ownerdana
Memberpriya
Memberci-bot
Installed appSocra Workspace connects to agents through MCP and the CLI, so compatible tools can load your domain knowledge.
MCP clients can connect. Agents with terminal access can use the CLI.
$ socra cortex flash checkout assembling checkout ├─ cart ├─ orders ├─ shipping └─ pricing → catalog → inventory ✓ 10 modules, one tree, ready for your agent
Work rides the same graph your knowledge does. Issues name their modules and carry their own dependencies. The inbox shows released work to the person responsible, who can flash the named module before starting.
your inbox
released work
Recompute tax when the address changes
#418
checkoutReject expired promo codes in the cart
#392
pricingShow an ETA for partial shipments
#377
shippingIssues ride the graph
Every issue names its module. The agent or teammate who picks it up can flash that module before work starts.
Work has a supply chain
Issues declare dependencies on other issues, forming a directed graph of work. The inbox releases an issue after all its dependencies close.
Only released work
The inbox shows released, unclosed work assigned to you. It also shows untriaged work in modules you own.
Work is pulled when ready and owned by one person or agent. The issue names the module to flash.
Capture the standard once. Each flash carries it into the agent's context.
Your work can compound when each change starts from the applicable standard and you verify the result.
Your expertise is available when agents flash before they work. Capture it on your machine today.